Experimental determination of the absorption enhancement parameter of snow
International audience In optical models snow is commonly treated as a disperse collection of particles. In this representation, the penetration depth of solar radiation is sensitive to the shape of the particles, in particular to the absorption enhancement parameter, B, that quantifies the lengthen...
Published in: | Journal of Glaciology |
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Main Authors: | , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2014
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Online Access: | https://hal.science/hal-03080370 https://hal.science/hal-03080370/document https://hal.science/hal-03080370/file/Libois2014_Parameter_B.pdf https://doi.org/10.3189/2014JoG14J015 |
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ftutoulouse3hal:oai:HAL:hal-03080370v1 |
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Université Toulouse III - Paul Sabatier: HAL-UPS |
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ftutoulouse3hal |
language |
English |
topic |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
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[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Libois, Quentin Picard, Ghislain Dumont, Marie Arnaud, Laurent Sergent, Claude Pougatch, Evelyne Sudul, Marcel Vial, David Experimental determination of the absorption enhancement parameter of snow |
topic_facet |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience In optical models snow is commonly treated as a disperse collection of particles. In this representation, the penetration depth of solar radiation is sensitive to the shape of the particles, in particular to the absorption enhancement parameter, B, that quantifies the lengthening of the photon path inside grains due to internal multiple reflections. Spherical grains, with theoretical B = 1.25, are often used. We propose an experimental method to determine B, and apply it to 36 snow samples and 56 snow strata. The method is based on radiative transfer modeling and combined measurements of reflectance and irradiance profiles. Such measurements are performed in the laboratory and in the field, in Antarctica and the French Alps. The retrieved values of B are in the range 0.7–2.4, with a wide peak between 1.4 and 1.8. An analysis of measurement error propagation based on a Bayesian framework shows that the uncertainty on B is ± 0.1, which is the order of magnitude of variations between different snow types. Thus, no systematic link between B and snow type can be inferred. Here we recommend using shapes with B = 1.6 to model snow optical properties, rather than spherical grains. |
author2 |
Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Libois, Quentin Picard, Ghislain Dumont, Marie Arnaud, Laurent Sergent, Claude Pougatch, Evelyne Sudul, Marcel Vial, David |
author_facet |
Libois, Quentin Picard, Ghislain Dumont, Marie Arnaud, Laurent Sergent, Claude Pougatch, Evelyne Sudul, Marcel Vial, David |
author_sort |
Libois, Quentin |
title |
Experimental determination of the absorption enhancement parameter of snow |
title_short |
Experimental determination of the absorption enhancement parameter of snow |
title_full |
Experimental determination of the absorption enhancement parameter of snow |
title_fullStr |
Experimental determination of the absorption enhancement parameter of snow |
title_full_unstemmed |
Experimental determination of the absorption enhancement parameter of snow |
title_sort |
experimental determination of the absorption enhancement parameter of snow |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-03080370 https://hal.science/hal-03080370/document https://hal.science/hal-03080370/file/Libois2014_Parameter_B.pdf https://doi.org/10.3189/2014JoG14J015 |
genre |
Antarc* Antarctica Journal of Glaciology |
genre_facet |
Antarc* Antarctica Journal of Glaciology |
op_source |
ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-03080370 Journal of Glaciology, 2014, 60 (222), pp.714-724. ⟨10.3189/2014JoG14J015⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3189/2014JoG14J015 hal-03080370 https://hal.science/hal-03080370 https://hal.science/hal-03080370/document https://hal.science/hal-03080370/file/Libois2014_Parameter_B.pdf doi:10.3189/2014JoG14J015 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3189/2014JoG14J015 |
container_title |
Journal of Glaciology |
container_volume |
60 |
container_issue |
222 |
container_start_page |
714 |
op_container_end_page |
724 |
_version_ |
1810495148703875072 |
spelling |
ftutoulouse3hal:oai:HAL:hal-03080370v1 2024-09-15T17:46:47+00:00 Experimental determination of the absorption enhancement parameter of snow Libois, Quentin Picard, Ghislain Dumont, Marie Arnaud, Laurent Sergent, Claude Pougatch, Evelyne Sudul, Marcel Vial, David Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2014 https://hal.science/hal-03080370 https://hal.science/hal-03080370/document https://hal.science/hal-03080370/file/Libois2014_Parameter_B.pdf https://doi.org/10.3189/2014JoG14J015 en eng HAL CCSD International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.3189/2014JoG14J015 hal-03080370 https://hal.science/hal-03080370 https://hal.science/hal-03080370/document https://hal.science/hal-03080370/file/Libois2014_Parameter_B.pdf doi:10.3189/2014JoG14J015 info:eu-repo/semantics/OpenAccess ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-03080370 Journal of Glaciology, 2014, 60 (222), pp.714-724. ⟨10.3189/2014JoG14J015⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2014 ftutoulouse3hal https://doi.org/10.3189/2014JoG14J015 2024-06-25T00:13:50Z International audience In optical models snow is commonly treated as a disperse collection of particles. In this representation, the penetration depth of solar radiation is sensitive to the shape of the particles, in particular to the absorption enhancement parameter, B, that quantifies the lengthening of the photon path inside grains due to internal multiple reflections. Spherical grains, with theoretical B = 1.25, are often used. We propose an experimental method to determine B, and apply it to 36 snow samples and 56 snow strata. The method is based on radiative transfer modeling and combined measurements of reflectance and irradiance profiles. Such measurements are performed in the laboratory and in the field, in Antarctica and the French Alps. The retrieved values of B are in the range 0.7–2.4, with a wide peak between 1.4 and 1.8. An analysis of measurement error propagation based on a Bayesian framework shows that the uncertainty on B is ± 0.1, which is the order of magnitude of variations between different snow types. Thus, no systematic link between B and snow type can be inferred. Here we recommend using shapes with B = 1.6 to model snow optical properties, rather than spherical grains. Article in Journal/Newspaper Antarc* Antarctica Journal of Glaciology Université Toulouse III - Paul Sabatier: HAL-UPS Journal of Glaciology 60 222 714 724 |